This project aims to visualize the layers of CNN using MNIST digit dataset.
The layers of the network are as follows :
- Input Layer
- Convolutional Layer ( 8 Filters )
- Pooling Layer
- Convolutional Layer ( 16 Filters )
- Pooling Layer
- Convolutional Layer ( 32 Filters )
- Pooling Layer
- Dense Layer ( 100 Units )
- Dense Layer ( 10 Units )
- Output Layer
The model has been trained using Tensorflow ( Python3 ) and loaded into Tensorspace for visualization. The user input is fed to the model using Canvas as input.
A better training on the network is required. The main aim of doing this project was visualization.